docs: preserve upstream English README
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<h1 align="center">
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<img src="docs/logo.svg" alt="Cheat on Content" width="720">
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</h1>
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<h2 align="center">Cheat on Content</h2>
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<p align="center">
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<strong>English</strong>
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·
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<a href="docs/README_CN.md"><strong>简体中文</strong></a>
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</p>
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<p align="center">
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<a href="https://watcha.cn/products/cheat-on-content">
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<img src="docs/guancha-no1.svg" alt="Watcha Hot List · 观猹热榜 · #1" width="328">
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</a>
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</p>
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<p align="center">
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<a href="CHANGELOG.md"><img src="https://img.shields.io/badge/version-v0.1.0-orange" alt="Version"></a>
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<a href="LICENSE"><img src="https://img.shields.io/badge/license-MIT-blue.svg" alt="License"></a>
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</p>
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<p align="center">
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For content creators — a skill that turns every post into a calibrated experiment.
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</p>
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<p align="center">
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You're reading this. The skill predicted it.<br>
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It turns every "I feel this will go viral" into a calibrated experiment.<br>
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It took me from zero to 1M followers in a month. It said I'd write this. I did.<br>
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Your doubt — predicted too.
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</p>
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---
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## 🎬 What it actually does
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Most creators live in the same gambling loop:
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> Publish → Numbers come in → Learn nothing → Roll the dice again
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A creator who's shipped 200 pieces is barely 10% sharper than someone who's shipped 1 — because they never **kept books** after each round.
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**Cheat on Content** makes every judgment get logged, retrospected, absorbed into the next:
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📊 Score → 🎯 Blind-predict → 🚀 Publish → 📈 T+3d retro → 🧬 Evolve your rubric
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This isn't motivation. It's **compounding** — every piece you don't retro is silently eroding your ability to see yourself.
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One month in = you have a hit-formula that's **only yours**.
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Three months in = you're 10× sharper than your first-day self.
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---
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## 🌀 Origin
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> I never believed in fate. Until this skill made me film a video — and predicted exactly how much traffic that video would pull.
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>
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> I tried to break it. I told my audience. I hoped collective observation would collapse the wave function and shift the trajectory.
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>
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> The data was accurate.
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>
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> I didn't escape fate. I just moved from first-order to second-order.
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>
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> If even my awakening — even my audience's observation — was already in its prediction, then right now, reading this:
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> are you here out of curiosity, or just closing the algorithm's last move?
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>
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> — *the creator*
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---
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## ⚖️ How it differs from other "creator tools"
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| Others | This |
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|---|---|
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| Give you "inspiration" | Make **your own intuition** measurable |
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| AI writes for you | AI **judges** for you — the script stays yours |
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| Ship 10 versions, A/B test | Ship one — **bet** in writing, settle the books with data |
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| Static dashboard | An **evolving rubric** — your formula 3 months from now isn't the starting one |
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In a sentence: other tools help you "ship more." This helps you "judge sharper."
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---
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## 🤔 Can't I just use ChatGPT / DeepSeek / Doubao?
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Those are **general assistants** — they tell everyone the same thing. You ask "will this go viral?" and the answer is fitted to global average opinion, not your channel. Ask again tomorrow — same answer. **It doesn't remember you. It doesn't change because of you.**
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This is **your own ops expert** — serving only your one channel:
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- The scoring formula is reverse-engineered from **your** history, not the global training distribution
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- Every piece you ship updates its understanding — by month three, judgment accuracy is 10× sharper than day one (**auto-evolving**)
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- It knows your benchmark account, your cadence, the last three reasons you flopped — things ChatGPT forgets after the first reply
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General LLMs help everyone. This helps **your** account.
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---
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## 🛡️ Why the loop actually evolves
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📝 **Every piece is logged**: Score and prediction get written before publish, archived end-to-end. Three days later you settle accounts — you see exactly where you were sharp, where you were off. No more vague "I feel this one didn't land."
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🔁 **It gets sharper**: Three same-direction misses in a row, the tool actively prompts you to upgrade your scoring formula. **You don't have to remember — it remembers for you.**
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🛡️ **Upgrades have a brake**: Switching the formula requires re-scoring all historical samples — only released if it ranks more accurately than the old. Plus a cross-model independent audit — **so you can't fool yourself.**
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🪒 **The rubric is a workbench, not a museum**: Observations refuted by data get deleted; observations absorbed into formal dimensions also get deleted. It only holds what's most useful right now.
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---
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## 📦 Install
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```bash
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git clone https://github.com/XBuilderLAB/cheat-on-content.git
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cd cheat-on-content
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bash install.sh
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```
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> ⚠️ **Upgrading from v0.x?** Run `/cheat-migrate` in your content project after `git pull`. The 1.3 → 1.4 migration is **BREAKING for blind-channel integrity** — it splits `rubric_notes.md` so the blind sub-agent can't leak actuals. Without migrate, blind scoring will keep flagging `non_blind_warning`. See [CHANGELOG](CHANGELOG.md) and [migrations/1.3-to-1.4.md](migrations/1.3-to-1.4.md).
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14 sub-skills are symlinked into your agent's skill directory. One install, every content project gets it.
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**Supported agents**: Claude Code (default) · Codex (`bash install.sh --codex`) · Both (`bash install.sh --all`)
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> Frozen version: `bash install.sh --copy` / `bash install.sh --codex --copy`
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>
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> Uninstall: `bash uninstall.sh` / `bash uninstall.sh --codex` (your content data is not touched)
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---
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## 🚀 First run
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In your content project directory, open a skill-compatible agent and say:
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```
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初始化 cheat-on-content
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```
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(or `init cheat-on-content`)
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Five yes/no questions complete onboarding. **Strongly recommend importing a benchmark account** — 5–10 samples and the tool gets an anchor immediately. Without one, your first 5 predictions land at ±50% precision.
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---
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## ⚡ Daily use
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```
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score this scripts/<...>.md → grade only
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start prediction scripts/<...>.md → blind prediction + decision log
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shot scripts/<...>.md → create video folder + buffer +1
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shipped https://... → buffer -1
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retro videos/<...>/ → T+3d data + retrospective
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status / fetch trends / find topic / bump rubric / find benchmark
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```
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Hook-aware agents auto-report buffer + pending retros + top candidates at every session start — no need to ask. Other agents: just say `status`.
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Full workflow + sub-skill details: see [SKILL.md](SKILL.md).
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---
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## 📈 Star History
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<a href="https://star-history.com/#XBuilderLAB/cheat-on-content&Date">
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<img src="docs/star-history.svg" alt="Star History Chart" width="720">
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</a>
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---
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## 📜 License
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MIT. Commercial use, modification, closed-source integration — all fine.
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---
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*Is this cheating? So was the calculator. So was Google.*
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*The future doesn't reward effort — it rewards those who see the pattern first.*
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*You reading this line — that's predicted too.*
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